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Erschienen in: Soft Computing 8/2017

29.10.2015 | Methodologies and Application

A two-machine flowshop scheduling problem with precedence constraint on two jobs

verfasst von: Shuenn-Ren Cheng, Yunqiang Yin, Chih-Hou Wen, Win-Chin Lin, Chin-Chia Wu, Jun Liu

Erschienen in: Soft Computing | Ausgabe 8/2017

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Abstract

Job precedence can be found in some real-life situations. For the application in the scheduling of patients from multiple waiting lines or different physicians, patients in the same waiting line for scarce resources such as organs, or with the same physician often need to be treated on the first-come, first-served basis to avoid ethical or legal issues, and precedence constraints can restrict their treatment sequence. In view of this observation, this paper considers a two-machine flowshop scheduling problem with precedence constraint on two jobs with the goal to find a sequence that minimizes the total tardiness criterion. In searching solutions to this problem, we build a branch-and-bound method incorporating several dominances and a lower bound to find an optimal solution. In addition, we also develop a genetic and larger-order-value method to find a near-optimal solution. Finally, we conduct the computational experiments to evaluate the performances of all the proposed algorithms.

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Metadaten
Titel
A two-machine flowshop scheduling problem with precedence constraint on two jobs
verfasst von
Shuenn-Ren Cheng
Yunqiang Yin
Chih-Hou Wen
Win-Chin Lin
Chin-Chia Wu
Jun Liu
Publikationsdatum
29.10.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 8/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-015-1908-x

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